ROOT

About

ROOT is a Model Context Protocol (MCP) server designed to bridge the gap between AI models and complex CERN ROOT data structures. It empowers large language models and other AI systems to interact with `TFile`, `TDirectory`, `TTree`, `TBranch`, and histograms within ROOT files declaratively, eliminating the need for users to write intricate low-level C++ or PyROOT code. This facilitates more intuitive, tool-based exploration and analysis of scientific data, enhancing the capabilities of AI in high-energy physics research.

Key Features

• Enables declarative, tool-based interaction with ROOT data without low-level C++ or PyROOT code
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• Implements robust security features for controlling file system access and allowed protocols
• Provides high-level access to CERN ROOT files and their contents (TFile, TDirectory, TTree, TBranch, histograms)
• Offers optional XRootD support for accessing remote ROOT files
• Configurable resource management with specified URIs and allowed patterns for data access

Use Cases

• Allowing AI models to safely and directly query and analyze CERN ROOT data
• Building LLM-driven applications that interact with high-energy physics datasets
• Simplifying access to complex scientific data for researchers without deep C++ or PyROOT expertise